On Chain Analysis
Analyze blockchain data for trading signals (whale movements, exchange flows). Use when understanding smart money, detecting accumulation/distribution, or confirming macro trends.
Install
$ agentstack add skill-ske-labs-agent-trading-skills-on-chain-analysis ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ske-labs-agent-trading-skills-on-chain-analysis) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
On-Chain Analysis
Interpret blockchain data to understand market participant behavior and identify macro accumulation/distribution phases.
> Note: Agent does not have direct on-chain API access. Use this framework to interpret on-chain data found via get_financial_news.
Exchange Flows
| Metric | Bullish | Bearish | | ----------------- | ------------------- | -------------- | | Exchange inflow | Low | High (selling) | | Exchange outflow | High (accumulation) | Low | | Exchange reserves | Decreasing | Increasing |
Wallet Activity
| Metric | Bullish | Bearish | | ----------------------- | ---------- | ---------- | | Whale accumulation | High | Low | | Long-term holder supply | Increasing | Decreasing | | Active addresses | Growing | Declining |
Key Metric Thresholds
| Metric | Bullish | Bearish | Neutral | | ---------------------------- | ------------------- | -------------------- | ------------ | | Exchange Net Flow | +10K BTC/day in | +/-10K | | Whale Txns (>1000 BTC) | Majority to cold | Majority to exchange | Mixed | | LTH Supply Change (30d) | >+50K BTC | 120% of average | 3.5 | Market overvalued -- distribution zone | Reduce exposure | | 1.0 - 3.5 | Normal range | Standard positioning | | 95 | Network overvalued relative to usage | Bearish | | 45 - 95 | Normal range | Neutral | | < 45 | Network undervalued relative to usage | Bullish |
NVT works best as a macro indicator; use multi-day averages to filter noise.
Workflow
- Gather on-chain intelligence from news sources:
get_financial_news(topic="BTC on-chain exchange outflow whale accumulation")
get_financial_news(topic="BTC MVRV NVT realized cap ratio")- Check current price and momentum for technical confirmation:
get_candles(symbol="BTC/USD", exchange="binance", interval="1d", count=1)
get_indicators(indicator_code="rsi", symbol="BTC/USD", exchange="binance", interval="1d")
get_indicators(indicator_code="macd", symbol="BTC/USD", exchange="binance", interval="1d")- Classify regime: Map news findings to the tables above -- accumulation, distribution, or neutral.
- Report macro thesis: on-chain regime, metric alignment count, technical confirmation status, key levels, and confidence level.
Key Rules
- NEVER use on-chain metrics for day trading or short-term timing -- they are macro indicators
- NEVER treat a single metric in isolation; require 3+ aligned metrics for high-confidence signals
- Large transfers may be internal exchange movements -- context matters
- On-chain data is lagging; it confirms trends rather than predicting them
- LTH selling = distribution phase warning; LTH accumulating = bullish macro signal
Related Skills
- altcoin-rotation -- on-chain metrics confirm cycle phases driving rotation decisions
- dca-strategy -- MVRV and realized cap identify macro accumulation zones for enhanced DCA
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: SKE-Labs
- Source: SKE-Labs/agent-trading-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.